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UX Researcher, Mixed Methods

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Meta Careers
Full Time position
Listed on 2026-09-30
Job specializations:
  • Research/Development
    Research Analyst, Data Scientist, AI Business & Operations, AI Evaluation
Salary/Wage Range or Industry Benchmark: 60000 - 90000 GBP Yearly GBP 60000.00 90000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

# UX Researcher, Mixed Methods London, UK Research+ 1 more Apply nowMeta is seeking a UX Researcher with deep mixed-methods expertise to drive strategic research across one of our core product areas. In this role, you will lead large-scale research programs that combine qualitative and quantitative approaches to uncover human behaviors, attitudes, and motivations  will shape product strategy by translating complex research findings into clear, actionable insights that influence decisions across product, design, engineering, and policy.

You will operate as a company-level subject matter expert, setting the research agenda and elevating the craft of user experience research across teams.

---## UX Researcher, Mixed Methods Responsibilities
* Define and drive the research strategy and roadmap for large-scale, cross-functional product areas, identifying the highest-impact research questions and translating ambiguous business problems into rigorous study designs
* Lead complex mixed-methods research programs that integrate qualitative methods such as in-depth interviews, ethnographic studies, and usability evaluations with quantitative approaches including surveys, behavioral data analysis, and statistical modeling
* Design end-to-end data collection strategies that eliminate bias, leverage multiple data sources, and produce findings that accurately represent diverse global user populations
* Synthesize qualitative and quantitative findings into deep-level insights and compelling narratives that drive product decisions and inform long-term strategy at the organizational level
* Develop and communicate data visualizations and research frameworks that distill complex findings into clear, actionable formats tailored to varied audiences including product leaders and executives
* Collaborate with product management, design, data science, engineering, and policy partners to integrate research insights into product planning and prioritization
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